@InProceedings{PetscharnigMMM18Demo, author = {Petscharnig, Stefan and Schöffmann, Klaus}, booktitle = {International Conference on Multimedia Modeling}, title = {ActionVis: An Explorative Tool to Visualize Surgical Actions in Gynecologic Laparoscopy}, year = {2018}, address = {Cham, Switzerland}, editor = {not available, yet}, month = {feb}, pages = {1-5}, publisher = {Springer}, abstract = {Appropriate visualization of endoscopic surgery recordings has a huge potential to benefit surgical work life. For example, it enables surgeons to quickly browse medical interventions for purposes of documentation, medical research, discussion with colleagues, and training of young surgeons. Current literature on automatic action recognition for endoscopic surgery covers domains where surgeries follow a standardized pattern, such as cholecystectomy. However, there is a lack of support in domains where such standardization is not possible, such as gynecologic laparoscopy. We provide ActionVis, an interactive tool enabling surgeons to quickly browse endoscopic recordings. Our tool analyses the results of a post-processing of the recorded surgery. Information on individual frames are aggregated temporally into a set of scenes representing frequent surgical actions in gynecologic laparoscopy, which help surgeons to navigate within endoscopic recordings in this domain.}, doi = {10.1007/978-3-319-73600-6_30}, language = {EN}, location = {Bangkok, Thailand}, talkdate = {2018.02.05}, talktype = {poster}, url = {https://link.springer.com/chapter/10.1007/978-3-319-73600-6_30} }